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3.Test plan

 (1) Test method:  

• Black-box: testing without knowledge of the code, compare if the test output is the same as the sample output; often used in testing scripts 

• White-box: testing with knowledge of the code, often used in unit test for library.

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(4) Test execution

(5) Test report

Examples

(1) How to identify the type of application and corresponding test method

(2) How to design the structure of a testing folder

(3)How to write a test for Script file

(4) How to write a test for Library file

step Step 1. Identify a function to test: srf_dt

step Step 2. Identify input file paths for testing

step Step 3. Set up functionalities to create/remove test output folder which is handled by set_up and tear_down module (as shown in the test example for script in (3))

step Step 4. Write unit test called 'test_dt' for function 'srf_dt'.  Each test unit should have prefix 'test_' as part of the test function name. Use the builtin pytest.mark.parametrize decorator to enable parametrization of arguments for a test function. The @parametrize decorator defines two different (test_dt,expected_dt) tuples so that the function 'test_dt' will run twice using them in turn. The expected value eg '2.50000e-02' should be manually picked but not by using python reading functions from the sample output file.

step Step 5. Run Pytest

4. Test Responsibility